DOI: 10.1016/j.atmosenv.2015.05.018
Scopus记录号: 2-s2.0-84929469777
论文题名: Modeling ammonia emissions from dairy production systems in the United States
作者: Deng J ; , Li C ; , Wang Y
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 114 起始页码: 8
结束页码: 18
语种: 英语
英文关键词: Dairy production systems
; Farming management practices
; Manure-DNDC
; NH3 emission
Scopus关键词: Ammonia
; Farm buildings
; Farms
; Lakes
; Manures
; Uncertainty analysis
; Alternative management
; Biogeochemical modeling
; Environmental conditions
; Farming management
; Management practices
; Optimized strategies
; Process-based models
; Production system
; Sewage lagoons
; ammonia
; air quality
; ammonia
; atmospheric pollution
; dairy farming
; management practice
; manure
; model validation
; agricultural management
; air pollution
; air temperature
; Article
; controlled study
; dairy industry
; lagoon
; manure
; nonhuman
; priority journal
; protein content
; simulation
; United States
; United States
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Dairy production systems are hot spots of ammonia (NH3 ) emission. However, there remains large uncertainty in quantifying and mitigating NH3 emissions from dairy farms due to the lack of both long-term field measurements and reliable methods for extrapolating these measurements. In this study, a process-based biogeochemical model, Manure-DNDC, was tested against measurements of NH3 fluxes from five barns and one lagoon in four dairy farms over a range of environmental conditions and management practices in the United States. Results from the validation tests indicate that the magnitudes and seasonal patterns of NH3 fluxes simulated by Manure-DNDC were in agreement with the observations across the sites. The model was then applied to assess impacts of alternative management practices on NH3 emissions at the farm scale. The alternatives included reduction of crude protein content in feed, replacement of scraping with flushing for removal of manure from barn, lagoon coverage, increase in frequency for removal of slurry from lagoon, and replacement of surface spreading with incorporation for manure land application. The simulations demonstrate that: (a) all the tested alternative management practices decreased the NH3 emissions although the efficiency of mitigation varied; (b) a change of management in an upstream facility affected the NH3 emissions from all downstream facilities; and (c) an optimized strategy by combining the alternative practices on feed, manure removal, manure storage, and land application could reduce the farm-scale NH3 emission by up to 50%. The results from this study may provide useful information for mitigating NH3 emissions from dairy production systems and emphasize the necessity of whole-farm perspectives on the assessment of potential technical options for NH3 mitigation. This study also demonstrates the potential of utilizing process-based models, such as Manure-DNDC, to quantify and mitigate NH3 emissions from dairy farms. © 2015. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81681
Appears in Collections: 气候变化事实与影响
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作者单位: Earth Systems Research Center, Institute for the Study of Earth Oceans and Space, University of New Hampshire, 39 College Road, Durham, NH, United States; Dairy Management Incorporation, 10255 West Higgins Road, Rosemont, IL, United States
Recommended Citation:
Deng J,, Li C,, Wang Y. Modeling ammonia emissions from dairy production systems in the United States[J]. Atmospheric Environment,2015-01-01,114